診断精度研究のバイアスリスク評価ツールQUADAS-2:a Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies 2 の活用
By 小島原典子, 森實敏夫, 中山健夫, 福岡敏雄, 河合富士美, 佐藤康仁, 吉田雅博, 山口直人. 2014
2,238 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/97389f9679a5432df8f5c1e19bc306d8e683bdf5
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Citations in the corpus
- The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta‐analysis, and clinical practice guideline: a systematic review (2015, methodology): “The Cochrane Collaboration takes QUADAS as it is a standard tool for making CSR and set QUADAS in the Review Manager (RevMan) 5.0 software (http://srdta.cochrane.org/handbook-dta-reviews).”
- Evidence‐Based Assessment as an Integrative Model for Applying Psychological Science to Guide the Voyage of Treatment (2017, background): “…Board Working Group on Journal Article Reporting Standards, 2008; Bossuyt et al., 2003) and critical appraisal tools (Straus et al., 2011; Whiting et al., 2011) all warn about potential design defects, and meta-analyses show these can have large biasing effects (Youngstrom, Genzlinger,…”
- A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. (2019, methodology): “The list of extraction items was based on the CHARMS checklist and the QUADAS risk of bias tool and refined after extensive discussion among the authors [9,22].”
- COSMIN Risk of Bias checklist for systematic reviews of Patient-Reported Outcome Measures (2017, methodology): “The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist is a tool developed to assess the methodological quality of single studies on measurement properties of PROMs [4, 5]; likewise, the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool is ”
- PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018, background): “It 299 consists of 10 items that reached agreement in rounds 1 and 2 (1,3,5,6,8,9,17,25-27), 300 along with the 10 items that were agreed upon in round 3 (2,4, 7,10,11,14,18,20,21,24).”
- Surveillance Imaging and Alpha Fetoprotein for Early Detection of Hepatocellular Carcinoma in Patients With Cirrhosis: A Meta-analysis (2018, methodology): “) independently assessed study quality by a modified checklist based upon the Quality Assessment Tool for Diagnostic Accuracy (QUADAS2) guidelines with discrepancies resolved by consensus.(13)”
- Developments, application, and performance of artificial intelligence in dentistry – A systematic review (2020, methodology): “A critical assessment was carried out for all the articles by following QUADAS-2 (Quality Assessment and Diagnostic Accuracy Tool) guidelines, a tool for quality assessment of the studies on diagnostic accuracy.(10) 3 more articles were excluded due to disagreement from the authors.”
- The Clinician-Administered PTSD Scale for DSM–5 (CAPS-5): Development and Initial Psychometric Evaluation in Military Veterans (2017, methodology): “This study followed the second version of the Quality Assessment of Diagnostic Accuracy Studies guidelines (QUADAS-2; Whiting et al., 2011), which minimizes the influence of various sources of bias that can affect diagnostic utility studies (see Bovin et al., 2016).”
- Circulating MicroRNAs as a Novel Class of Diagnostic Biomarkers in Gastrointestinal Tumors Detection: A Meta-Analysis Based on 42 Articles (2014, methodology): “Quality assessment The qualities of included studies were scored independently by two reviewers using the revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria [29].”
- Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments (2020, methodology): “At the time of writing, the tool includes templates for three major tools: the Cochrane RoB 2 tool for assessing randomized trials,(3) the ROBINS-I tool for assessing non-randomized studies of interventions,(4) and the QUADAS-2 tool for assessing diagnostic accuracy studies.(5) These templates autom”